Comprehensive side-by-side LLM comparison
Phi 4 leads with 12.4% higher average benchmark score. Jamba 1.5 Large offers 480.0K more tokens in context window than Phi 4. Phi 4 is $9.79 cheaper per million tokens. Overall, Phi 4 is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Large was developed by AI21 Labs using a hybrid architecture combining transformer and state space models, designed to provide efficient long-context understanding. Built to handle extended documents and conversations with computational efficiency, it represents AI21's innovation in efficient large-scale model design.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
3 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22

Phi 4
Microsoft
2024-12-12
Cost per million tokens (USD)
Jamba 1.5 Large

Phi 4
Context window and performance specifications
Average performance across 4 common benchmarks
Jamba 1.5 Large

Phi 4
Jamba 1.5 Large
2024-03-05
Phi 4
2024-06-01
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Phi 4
Jamba 1.5 Large

Phi 4
Jamba 1.5 Large

Phi 4
DeepInfra